What is eager learning or lazy learning?
Eager learning is when a model does all its computation before needing to make a prediction for unseen data. For example, Neural Networks are eager models.
Lazy learning is when a model doesn't require any training, but all of its computation during inference. An example of such a model is k-NN. Eager learning is ...
The term it comes from cognitive science - depending on the paradigm, it can have many meanings correlated with neuroscience as well as the brain.
Activities based on this sphere is :
The mentioned cognitive processes - activate the appropriate regions in the brain narrow ...
A few years ago, deep learning was a buzz word, but now is de-facto a standard term or expression, and it's widely used in all research papers, although deep learning is almost never defined rigorously (but this doesn't seem to be a big problem!).
From my experience (this is not just an opinion, of course!), after having read so many papers on the topic, ...
According to Wikipedia
The "standard interpretation" of the Turing test, in which player C, the interrogator, is given the task of trying to determine which player – A or B – is a computer and which is a human. The interrogator is limited to using the responses to written questions to make the determination.
The Turing test is a test proposed by Alan Turing (one of the founders of computer science and artificial intelligence), described in section 1 of paper Computing Machinery and Intelligence (1950), to answer the question
Can machines think?
More precisely, the Turing test was originally framed as an interactive quiz (denoted as the imitation game by Turing)...